Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
Our mission is to revolutionise how humans interact with machines by developing and deploying the latest conversational artificial intelligence (AI), natural language processing (NLP), and speech technologies in IBM's industry-leading platforms, watsonx Assistant and watsonx Orchestrate. We are proud of the state-of-the-art, scalable, and performant machine learning based system we have built, and we are now significantly expanding our team! Being a Senior Data Scientist in NLP, AI, and Machine Learning involves creating learning systems that enable humans and machines to perform better. These systems are designed to create new partnerships between people and machines to augment and scale human expertise in every industry, from healthcare to financial services to education.
Responsibilities: Create and maintain machine learning models and LLMs with a focus on big data. Work in an Agile, collaborative environment to understand and develop solutions for requirements.You'll be involved in designing, coding, and testing innovative applications in areas such as machine learning, computational linguistics, Natural Language Processing (NLP), advanced and semantic information search, extraction, classification, and reinforcement learning with exploration.Collaborate with research teams to adopt the latest technologies in AI and ML.Lead in implementing, testing, and improving algorithms in these areas and proactively identify and file patentable technology.Employ IBM Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability. Required Technical and Professional Expertise 5+ years of experience using Python to deliver AI-based applications into production environments.3+ years of experience in Machine Learning frameworks such as TensorFlow, PyTorch, MXNet, scikit-learn, or similar frameworks.3+ years of applied knowledge in LLMs.Experience leading AI and/or ML projects to completion & deploying into production.Experience running AI-based application experiments and making changes. Preferred Technical and Professional Expertise Ability to develop and debug nondeterministic, adaptive systems.Experience with multi-modal LLMs.Experience with product grade decoder, training speech to text models, and applied ML algorithms is a plus.Experience with Voice/Protocols SIP/RTP is a plus.
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